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Journal ArticleDOI

Langevin-dynamics study of the dynamical properties of small magnetic particles

J. L. García-Palacios, +1 more
- 01 Dec 1998 - 
- Vol. 58, Iss: 22, pp 14937-14958
TLDR
In this paper, the Langevin-dynamics approach was used to study the dynamics of magnetic nanoparticles, and the results were compared with different analytical expressions used to model the relaxation of nanoparticle ensembles, assessing their accuracy.
Abstract
The stochastic Landau-Lifshitz-Gilbert equation of motion for a classical magnetic moment is numerically solved (properly observing the customary interpretation of it as a Stratonovich stochastic differential equation), in order to study the dynamics of magnetic nanoparticles. The corresponding Langevin-dynamics approach allows for the study of the fluctuating trajectories of individual magnetic moments, where we have encountered remarkable phenomena in the overbarrier rotation process, such as crossing-back or multiple crossing of the potential barrier, rooted in the gyromagnetic nature of the system. Concerning averaged quantities, we study the linear dynamic response of the archetypal ensemble of noninteracting classical magnetic moments with axially symmetric magnetic anisotropy. The results are compared with different analytical expressions used to model the relaxation of nanoparticle ensembles, assessing their accuracy. It has been found that, among a number of heuristic expressions for the linear dynamic susceptibility, only the simple formula proposed by Shliomis and Stepanov matches the coarse features of the susceptibility reasonably. By comparing the numerical results with the asymptotic formula of Storonkin {Sov. Phys. Crystallogr. 30, 489 (1985) [Kristallografiya 30, 841 (1985)]}, the effects of the intra-potential-well relaxation modes on the low-temperature longitudinal dynamic response have been assessed, showing their relatively small reflection in the susceptibility curves but their dramatic influence on the phase shifts. Comparison of the numerical results with the exact zero-damping expression for the transverse susceptibility by Garanin, Ishchenko, and Panina {Theor. Math. Phys. (USSR) 82, 169 (1990) [Teor. Mat. Fiz. 82, 242 (1990)]}, reveals a sizable contribution of the spread of the precession frequencies of the magnetic moment in the anisotropy field to the dynamic response at intermediate-to-high temperatures.

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Citations
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Magnetization reversal driven by spin-polarized current in exchange-biased nanoscale spin valves

TL;DR: In this article, the free-layer magnetization reversal of a nanomagnet was studied in the case of collinear equilibrium magnetizations, and it was shown that even small misalignments of the magnetizations of the free and the pinned layers, on the order of 5 or 10 degrees of freedom, can result in magnetization reversals.
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Approaches for modeling magnetic nanoparticle dynamics

TL;DR: Several approaches have been used to model nanoparticle magnetization dynamics for both Brownian as well as Neel rotation, including the Stoner-Wohlfarth approach and stochastic approaches including thermal fluctuations.
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Langevin spin dynamics

TL;DR: In this paper, a robust and numerically stable algorithm for integrating the Langevin spin dynamics equations, and explore, both numerically and analytically, a range of applications of the method.
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Monte Carlo technique with a quantified time step: Application to the motion of magnetic moments

TL;DR: In this article, the viability of the time quantified Metropolis Monte Carlo technique to describe the dynamics of magnetic systems is discussed, based on the comparison between the Monte Carlo trial step and the mean squared deviation of the direction of the magnetic moment.
Journal ArticleDOI

Micromagnetic simulations of nanosecond magnetization reversal processes in magnetic nanopillar

TL;DR: In this paper, the spin torque model was used to study the fast switching behavior of the Co(20nm)∕Cu(5nm), Co(2.5nm) magnetic multilayers of two different cross sections.
References
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Book

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TL;DR: In this article, the authors introduce the Fokker-planck equation, the Langevin approach, and the diffusion type of the master equation, as well as the statistics of jump events.

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Abstract: Preface to the first edition. Preface to the second edition. Abbreviated references. I. Stochastic variables. II. Random events. III. Stochastic processes. IV. Markov processes. V. The master equation. VI. One-step processes. VII. Chemical reactions. VIII. The Fokker-Planck equation. IX. The Langevin approach. X. The expansion of the master equation. XI. The diffusion type. XII. First-passage problems. XIII. Unstable systems. XIV. Fluctuations in continuous systems. XV. The statistics of jump events. XVI. Stochastic differential equations. XVII. Stochastic behavior of quantum systems.
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TL;DR: In this article, a time-discrete approximation of deterministic Differential Equations is proposed for the stochastic calculus, based on Strong Taylor Expansions and Strong Taylor Approximations.
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The Fokker-Planck equation

Hannes Risken